About

Hi,

My name is Michael Nolting. This website/blog is mostly meant to group together my thoughts and ideas about big data analytics.

I’m an experienced data scientist and software engineer with a strong background in computer science, programming, machine learning, and statistics. My work spans the full spectrum from solving isolated data problems to building business-focused production systems that serve millions of users.

I've produced top results in various areas. I developed, for example, a web-based and mobile food diary that offers interactive tools for modern dieting and additional subscription services. It now has over 100,000 subscribers in Germany and is based on sophisticated analytics for analyzing and optimizing the users' food intake. Further examples include: winning a start-up contest with the idea of using pan/tilt/zoom cameras for building offline analytics systems for retailers, setting up a car fleet for Volkswagen to sample real-world data for autonomous driving, and being one of Volkswagen's lead Enterprise Architects for the Chinese market for mobile online services. I implemented various live systems that substantially increase revenue through the smart use of data. With a proven capability to work independently and in teams, lead and mentor co-workers, and communicate with both technical and non-technical stakeholders, I consistently deliver value to a variety of clients and projects. See my LinkedIn profile for more details.

After almost five years of working at Volkswagen (as a researcher and IT), I’ve decided to join Sevenval as Head of Frontend Data Analytics in early 2015. Sevenval is a mid-sized company with start-up spirit. My team develops a product in the realm of predictive analytics. We sample large amounts of website data and link that to the impact on the client's business. So, we find valuable information that can create new use cases, improve existing processes or technologies and even drive sales. Our methods are based on machine learning algorithms for predictive modeling, anomaly detection, and optimization. Since I am head of the team right from the start, I’ve had the chance to see the product evolve and grow. I’m excited to be a part of this growth and will update on developments as they happen – watch this space.

I’m always happy to chat about data science, predictive modeling issues, food optimization, the Berlin startup scene, and various other tech matters. If you’d like to contact me, please drop me a line via LinkedIn or Twitter.